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Wacholder, Nina and Lu Liu. (2008). Assessing Term Effectiveness in the Interactive Information Access Process. Information Processing & Management, 44:3, 1022-1031.
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Rittman, Robert and Nina Wacholder. (2008). Adjectives and adverbs as indicators of affective language for automatic genre detection. Proceedings of AISB 2008 Convention, Symposium on Affective Language. Aberdeen, Scotland, April 1-2, 2008.
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Liu, Ying-Hsang and Nina Wacholder. (2008). Do human-developed index terms help users? An experimental study of MeSH Terms in biomedical searching. Proceedings of the Annual Meeting of the American Society for Information Science & Technology. Columbus, OH, Oct. 24-28, 2008.
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Liu, Ying Hsang, & Wacholder, Nina (2010). On search topic variability in interactive information retrieval. CIRSE 2010, 17.
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Smith, Catherine L. & Nina Wacholder. (2010). Why users don't take suggestions: Preliminary results. Poster presented at the Association for Library and Information Science Education Annual Conference (ALISE '10), Boston, MA.
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Smith, Catherine L. & Nina Wacholder. (2010). Why do users neglect suggestions? Effects of semantic relatedness and task on word recognition. Poster presented at the Association for Library and Information Science Education Annual Conference (iConference '10), Urbana-Champaign, IL.
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Wacholder, Nina. (2011). Interactive query formulation. Annual Review of Information Science and Technology, 45(1), 157–196.
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González-Ibánez, R., Smaranda Muresan, & Nina Wacholder. (2011). Identifying sarcasm in Twitter: A closer look. Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, 581–586.
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Aakhus, Mark, Muresan, Smaranda & Wacholder, Nina. (2013). Integrating natural language processing and pragmatic argumentation theories for argumentation support. OSSA Conference Archive, Paper 1. http://scholar.uwindsor.ca/ossaarchive/OSSA10/papersandcommentaries/1.
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Ghosh, Debanjan, Muresan, Smaranda, Wacholder, Nina, Aakhus, Mark & Mitsui, Matthew. (2014). Analyzing argumentative discourse units in online interactions. In Proceedings of the First Workshop on Argumentation Mining (pp. 39–48). Dublin, Ireland: ACL. Retrieved from http://www.ling.uni-potsdam.de/~koller/aclpub/W14-21/book.pdf#page=51.
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